Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes

Laura Salmela; Sirra Toivonen; Minna Kulju; Mari Ylikauppila

doi:10.1109/EISIC.2018.00017

Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes

Laura Salmela, Sirra Toivonen, Minna Kulju, Mari Ylikauppila

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

Automated border control represents one area in the digital transformation of border control. It is gradually becoming a commonplace particularly at air borders, where the concept of self-service has had the strongest business case also in other steps of the passenger’s journey, such as check-in or baggage drop. Besides providing a means to enhance efficiency and security in passenger clearing processes, the new technology significantly reshapes current ways of conducting border checks from employee perspective. Successfull implementation of automated border check technologies thus demands border organizations to equip their workforce with new skills and remodel existing ones. This paper presents a preliminary analysis on current technology training of border guards and assesses its effects on how the new technology is received among employees at the frontline. The results are based on field studies conducted in five EU member states. The study loosely applies a Technology Training Model that extends traditional Technology Acceptance Model by incorporating training as an additional variable to explain employee intention to use new technology.

Original language	English
Title of host publication	Proceedings - 2018 European Intelligence and Security Informatics Conference, EISIC 2018
Editors	Joel Brynielsson
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	61-64
ISBN (Electronic)	978-1-5386-9400-8
ISBN (Print)	978-1-5386-9401-5
DOIs	https://doi.org/10.1109/EISIC.2018.00017
Publication status	Published - 24 Oct 2018
MoE publication type	A4 Article in a conference publication
Event	European Intelligence and Security Informatics Conference, EISIC 2018: The Premier European Conference on Counterterrorism and Criminology - Blekinge Institute of Technology, Karlskrona, Sweden Duration: 24 Oct 2018 → 25 Oct 2018 http://www.eisic.eu

Conference

Conference	European Intelligence and Security Informatics Conference, EISIC 2018
Abbreviated title	EISIC 2018
Country/Territory	Sweden
City	Karlskrona
Period	24/10/18 → 25/10/18
Internet address	http://www.eisic.eu

Keywords

automated border control
technology training
digital transformation
technology acceptance

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EISIC.2018.00017

Cite this

Salmela, L., Toivonen, S., Kulju, M., & Ylikauppila, M. (2018). Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes. In J. Brynielsson (Ed.), Proceedings - 2018 European Intelligence and Security Informatics Conference, EISIC 2018 (pp. 61-64). Article 8753059 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/EISIC.2018.00017

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title = "Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes",

abstract = "Automated border control represents one area in the digital transformation of border control. It is gradually becoming a commonplace particularly at air borders, where the concept of self-service has had the strongest business case also in other steps of the passenger{\textquoteright}s journey, such as check-in or baggage drop. Besides providing a means to enhance efficiency and security in passenger clearing processes, the new technology significantly reshapes current ways of conducting border checks from employee perspective. Successfull implementation of automated border check technologies thus demands border organizations to equip their workforce with new skills and remodel existing ones. This paper presents a preliminary analysis on current technology training of border guards and assesses its effects on how the new technology is received among employees at the frontline. The results are based on field studies conducted in five EU member states. The study loosely applies a Technology Training Model that extends traditional Technology Acceptance Model by incorporating training as an additional variable to explain employee intention to use new technology.",

keywords = "automated border control, technology training, digital transformation, technology acceptance",

author = "Laura Salmela and Sirra Toivonen and Minna Kulju and Mari Ylikauppila",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grand agreement No653676 (BODEGA). Funding Information: This work was supported by the European Union's Horizon 2020 research and innovation programme under grand agreement No653676 (BODEGA). Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; European Intelligence and Security Informatics Conference, EISIC 2018 : The Premier European Conference on Counterterrorism and Criminology, EISIC 2018 ; Conference date: 24-10-2018 Through 25-10-2018",

year = "2018",

month = oct,

day = "24",

doi = "10.1109/EISIC.2018.00017",

language = "English",

isbn = "978-1-5386-9401-5",

pages = "61--64",

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Salmela, L , Toivonen, S , Kulju, M & Ylikauppila, M 2018, Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes. in J Brynielsson (ed.), Proceedings - 2018 European Intelligence and Security Informatics Conference, EISIC 2018., 8753059, IEEE Institute of Electrical and Electronic Engineers, pp. 61-64, European Intelligence and Security Informatics Conference, EISIC 2018, Karlskrona, Sweden, 24/10/18. https://doi.org/10.1109/EISIC.2018.00017

Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes. / Salmela, Laura ; Toivonen, Sirra ; Kulju, Minna et al.
Proceedings - 2018 European Intelligence and Security Informatics Conference, EISIC 2018. ed. / Joel Brynielsson. IEEE Institute of Electrical and Electronic Engineers, 2018. p. 61-64 8753059.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Digital Transformation in Border Checks

T2 - European Intelligence and Security Informatics Conference, EISIC 2018

AU - Salmela, Laura

AU - Toivonen, Sirra

AU - Kulju, Minna

AU - Ylikauppila, Mari

N1 - Funding Information: ACKNOWLEDGMENT This work was supported by the European Union’s Horizon 2020 research and innovation programme under grand agreement No653676 (BODEGA). Funding Information: This work was supported by the European Union's Horizon 2020 research and innovation programme under grand agreement No653676 (BODEGA). Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2018/10/24

Y1 - 2018/10/24

N2 - Automated border control represents one area in the digital transformation of border control. It is gradually becoming a commonplace particularly at air borders, where the concept of self-service has had the strongest business case also in other steps of the passenger’s journey, such as check-in or baggage drop. Besides providing a means to enhance efficiency and security in passenger clearing processes, the new technology significantly reshapes current ways of conducting border checks from employee perspective. Successfull implementation of automated border check technologies thus demands border organizations to equip their workforce with new skills and remodel existing ones. This paper presents a preliminary analysis on current technology training of border guards and assesses its effects on how the new technology is received among employees at the frontline. The results are based on field studies conducted in five EU member states. The study loosely applies a Technology Training Model that extends traditional Technology Acceptance Model by incorporating training as an additional variable to explain employee intention to use new technology.

AB - Automated border control represents one area in the digital transformation of border control. It is gradually becoming a commonplace particularly at air borders, where the concept of self-service has had the strongest business case also in other steps of the passenger’s journey, such as check-in or baggage drop. Besides providing a means to enhance efficiency and security in passenger clearing processes, the new technology significantly reshapes current ways of conducting border checks from employee perspective. Successfull implementation of automated border check technologies thus demands border organizations to equip their workforce with new skills and remodel existing ones. This paper presents a preliminary analysis on current technology training of border guards and assesses its effects on how the new technology is received among employees at the frontline. The results are based on field studies conducted in five EU member states. The study loosely applies a Technology Training Model that extends traditional Technology Acceptance Model by incorporating training as an additional variable to explain employee intention to use new technology.

KW - automated border control

KW - technology training

KW - digital transformation

KW - technology acceptance

UR - https://www.scopus.com/pages/publications/85069452208

U2 - 10.1109/EISIC.2018.00017

DO - 10.1109/EISIC.2018.00017

M3 - Conference article in proceedings

SN - 978-1-5386-9401-5

SP - 61

EP - 64

BT - Proceedings - 2018 European Intelligence and Security Informatics Conference, EISIC 2018

A2 - Brynielsson, Joel

PB - IEEE Institute of Electrical and Electronic Engineers

Y2 - 24 October 2018 through 25 October 2018

ER -

Digital Transformation in Border Checks: Mapping Border Guard Training in Automated Processes

Abstract

Conference

Keywords

UN SDGs

Access to Document

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